A highly-sensitive sensor based on carbon nanohorns@reduced graphene oxide coated by gold platinum core-shell nanoparticles for electrochemical detection of carbendazim in fruit and vegetable juice.

Carbendazim (CBZ) is beneficial to fruit and vegetable cultivation, but its residue will cause fruit and vegetable juice pollution. In this work, an electrochemical sensor based on carbon nanohorns@reduced graphene oxide coated by gold platinum core-shell nanoparticles (Au@Pt/CNHs@RGO/GCE) was prepared for CBZ detection. The results showed that the assembly of CNHs and RGO assisted by ultrasound improved the electron transfer ability and electrochemical active surface area of CNHs@RGO. Moreover, the coating of Au@Pt nanoparticles further enhanced the sensitivity of the sensor. With the synergistic effect of the three materials, the sensor had a wider linear range (0.05 µmol/L-50 µmol/L), a lower limit of detection (1.64 nmol/L), and satisfactory recovery rates (90.60 % ∼ 97.60 %, carrot juice; 94.00-114.43 %, orange juice). Additionally, the sensor presented good anti-interference and repeatability. This work provides a simple, rapid, economical, sensitive, and accurate sensor for CBZ quantification in fruit and vegetable juice.

Inhibition of Fusarium graminearum growth and deoxynivalenol accumulation in barley malt by protonated g-C3N4/oxygen-doped g-C3N4 homojunction.

Barley malt, the main raw material for beer production, is at risk of Fusarium graminearum (F. graminearum) infection, leading to the possible production of large amounts of deoxynivalenol (DON) in malt. DON in malt can migrate into the final beer product, posing a food safety risk to consumers. In our work, a protonated g-C3N4/oxygen-doped g-C3N4 (CNH/OCN) composite was prepared and used for the inhibition of F. graminearum growth and DON accumulation in barley malt under visible light irradiation. The results showed that the inhibition rate of F. graminearum reached 100 % after 2.5 h of visible light irradiation, and the inhibition effect was still stable after 3 rounds of reuse. The possible pathway of inhibiting F. graminearum spores was that the photogenerated carriers in the CNH/OCN composite transferred in the form of a type II homojunction under visible light and stimulated O2 in the catalytic system to produce a large amount of O2- to kill spores. Compared with the untreated malt, the photocatalytic inhibition rates of the CNH/OCN composite material for ergosterol and DON in malt reached 73.33 % and 67.25 %, respectively. Although photocatalysis had a certain effect on the physicochemical indices of malt, the malt after photocatalysis still met the first-grade standard of Chinese industry standard QB/T 1686-2008.

Highly sensitive electrochemical detection of carbendazim residues in water by synergistic enhancement of nitrogen-doped carbon nanohorns and polyethyleneimine modified carbon nanotubes.

Carbendazim (CBZ) can protect crops from pathogens, but it is also easy to cause pesticide residues, threatening human health. In our work, an electrochemical sensor based on nitrogen-doped carbon nanohorns (N-CNHs) and polyethyleneimine-modified carbon nanotubes (PEI-CNTs) was developed for the detection of CBZ content in water. The results showed that N-doping provided the CN bonds for CNHs and improved the electrochemical reaction performance of N-CNHs surface. With the participation of PEI, the surface of CNTs was positively charged and contained a large number of NH bonds, which not only promoted the electrostatic assembly of N-CNHs and PEI-CNTs but also was beneficial to further enriching CBZ. After further ultrasound-assisted assembly of N-CNHs and PEI-CNTs, the electron transfer capacity, electrochemical active surface area, and catalytic activity of N-CNHs/PEI-CNTs were significantly improved. The sensor performed a wider linear range (15 nmol/L ~ 70 µmol/L), low detection limit (4 nmol/L) and satisfactory recovery (87.33 % ~ 117.67 %) under the optimal conditions. In addition, the sensor had good anti-interference, reproducibility, and stability. Our work provided a new strategy for quantification of CBZ in environment.

A tensor PRISM algorithm for multi-energy CT reconstruction and comparative studies.

Different from the single-energy CT (SECT), multi-energy CT (MECT) acquires projection data at different energy spectra, which makes that the MECT has more sparsity among the data of separate energy and over energy. In order to maximize utilization of all these sparse characteristics, this paper proposed a new tensor PRISM model to consistently treat a priori knowledge of the low rank, intensity and sparsity with the higher-dimensional tensor technique. The priori knowledge of low rank corresponds to the stationary background and similarity over the energy, and the intensity and sparsity represents the rest of image features at single energy. Then, the regularization and convex minimization problem was solved by tensor unfolding and an extended tensor-based split-Bregman algorithm. Different from the previous PRISM algorithm, the new algorithm mixed and treated different constraints consistently. Numerical experiments have shown that our tensor PRISM approach performs much better than the popular l1 regularization algorithm in terms of image quality for MECT.

Combination of current-integrating/photon-counting detector modules for spectral CT.

Inspired by compressive sensing theory and spectral detection technology, here we propose a novel design of a CT detector array that uses current-integrating/photon-counting modules in an interlacing fashion so that strengths of each detector type can be synergistically combined. For geometrical symmetry, an evenly alternating pattern is initially assumed for these detector modules to form a hybrid detector array. While grayscale detector modules acquire regular raw data in a large dynamic range cost-effectively, spectral detector modules simultaneously sense energy-discriminative data in multiple energy bins. A split Bregman iterative algorithm is developed for spectral CT reconstruction from projection data of an object collected with the hybrid detector array. With mathematical phantoms, an optimal ratio of the number of the spectral elements over the number of grayscale elements is determined based on classic image quality evaluation. This hybrid detector array is capable of delivering a performance comparable with that of a full spectral detector array.